Mammutti Poistamas

Mammutti Poistamas — CS2 Stats

FI76561199787377842[U:1:1827112114]Steam profile ↗✓ No bans

99Tracked matches38%Win rate2025Tracked since
53Hours in CS
CSDB Rating4.0 DevelopingPositional Player
Ladder ranks via Leetify

Performance scores

Aim50
Positioning46
Utility18

0–100 skill scores via Leetify.

Recent form

COLD47–41–9Last 9748%Win rateLLTLLLTLWL

Last 10 vs previous 10: −40pp win rate · −0.01 avg rating · −6.1pp headshot accuracy · +61ms reaction

Win rate down 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 0–4–1 · 0% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 655ms

Last 10

  • 1–7–2 · 10% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 708ms

Last 20

  • 6–10–4 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 677ms

Newest first, from the last 97 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+2.4 against its own average).

Aim5.0
Utility1.8
Positioning4.6
Opening Duels2.4
Clutch0.0

Limited utility dependence

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

donk

Plays most like donk 87% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 708ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim5.0
Positioning4.6
Utility1.8
Mechanics7.1
Opening Duels2.0
Win Impact0.8

Composite 4.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg -0.00
Reaction time700ms−13ms
first ⅓ avg 713ms → last ⅓ avg 700ms
Headshot accuracy18.9%−6.5%
first ⅓ avg 25.4% → last ⅓ avg 18.9%

Rolling 5-match average across the last 97 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.23Best match rating · 13–1 · inferno, 12 Apr →
59%Best headshot accuracy · 2–13 · mirage, 23 Mar →
484msFastest reaction time · 13–8 · dust2, 18 Mar →
13–0Biggest win · mirage, 28 Mar →

Across the last 97 tracked matches.

Highlights

8Longest win streak
L2Current streak
5–1In matches decided by ≤2 rounds

Map breakdown

mirageBest map · 50% over 38nukeWeakest map · 44% over 16
MapGradePlayedRecordWin rateAvg rating
mirageB3819–1950%0.02
dust2B2612–1446%-0.01
nukeC167–944%0.01
inferno—43–175%0.03
overpass—30–30%0.01
anubis—33–0100%-0.02
ancient—32–167%0.00
cache—20–20%-0.02
vertigo—11–0100%0.04
office—10–10%-0.06

Across the last 97 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (44% over 16). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

2,438Lifetime kills
0.99K/D
150Matches
47.3%Match win rate · Top 50% of tracked players
60.7%Headshot % · Top 5% of tracked players
0.0%Shot accuracy
538MVPs
53Hours (in match)
154Bombs planted
14Bombs defused

Most-used weapons

Lifetime map wins

352dust2
202nuke
79inferno
56vertigo
26office
1ar_baggage

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

4Matches
75%Win rate
1.13Avg K/D
74.3ADR
52%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Inferno10%0.7311.0
Overpass1100%0.649.0
Anubis1100%2.1415.0
Mirage1100%1.0019.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

18.5%Headshot accuracy
33.4%Accuracy (enemy spotted)
32.6%Spray accuracy
81.8%Counter-strafing
11.3°Preaim
708msReaction time
37.9%T opening success
38.3%CT opening success
0.29Enemies flashed / flash
0.8%Flash assists
8.13HE damage / grenade
2.13Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 707.8398ms — above the 700ms mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.2861 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 37.9147% — below the 40% mark we flag

Spend your practice time on Nuke

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

44% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage7–130.0218%8 May →
cache0–13-0.039%6 May →
cache12–12-0.0123%5 May →
mirage6–13-0.026%27 Apr →
mirage7–130.0219%25 Apr →
dust25–13-0.0315%22 Apr →
dust212–12-0.0620%20 Apr →
overpass7–130.0522%18 Apr →
mirage13–40.0610%17 Apr →
mirage1–13-0.0510%17 Apr →
inferno1–13-0.0311%16 Apr →
dust213–80.0432%16 Apr →
mirage12–12-0.0233%16 Apr →
nuke5–130.0027%16 Apr →
anubis13–11-0.0211%15 Apr →
ancient13–4-0.0519%15 Apr →
vertigo13–20.0420%15 Apr →
dust212–120.0420%15 Apr →
mirage8–13-0.0014%15 Apr →
mirage13–60.0525%15 Apr →
mirage13–100.1325%14 Apr →
overpass12–120.0331%14 Apr →
mirage13–7-0.085%14 Apr →
overpass3–13-0.0614%14 Apr →
dust25–13-0.0917%13 Apr →
nuke10–13-0.0816%13 Apr →
mirage7–130.0418%13 Apr →
mirage8–130.0115%12 Apr →
nuke13–50.0011%12 Apr →
dust212–12-0.0421%12 Apr →
nuke10–130.0925%12 Apr →
dust25–13-0.0641%12 Apr →
inferno13–10.2332%12 Apr →
office4–13-0.0614%12 Apr →
mirage8–13-0.0130%12 Apr →
anubis13–50.0120%12 Apr →
mirage13–10-0.0213%12 Apr →
mirage3–13-0.0811%5 Apr →
mirage13–60.1013%1 Apr →
mirage6–130.0215%1 Apr →
anubis13–9-0.049%31 Mar →
dust213–11-0.0320%31 Mar →
ancient13–100.0230%31 Mar →
nuke1–13-0.0610%29 Mar →
mirage13–70.1015%29 Mar →
ancient4–130.0420%29 Mar →
mirage9–13-0.0919%29 Mar →
mirage8–130.0222%29 Mar →
mirage13–20.0517%29 Mar →
dust212–12-0.0812%28 Mar →
inferno13–7-0.0319%28 Mar →
nuke2–13-0.0315%28 Mar →
nuke13–60.0423%28 Mar →
mirage13–00.1539%28 Mar →
dust29–13-0.0125%28 Mar →
nuke13–80.0634%27 Mar →
mirage13–70.1228%27 Mar →
dust26–13-0.0216%27 Mar →
mirage13–90.0126%25 Mar →
mirage13–30.0043%25 Mar →
nuke13–90.0121%24 Mar →
nuke9–0-0.0220%24 Mar →
dust213–11-0.0627%24 Mar →
mirage9–13-0.0335%24 Mar →
dust213–10-0.0326%24 Mar →
mirage13–11-0.0239%23 Mar →
nuke12–12-0.0525%23 Mar →
mirage13–90.0732%23 Mar →
dust24–13-0.0129%23 Mar →
mirage2–13-0.0159%23 Mar →
mirage13–10-0.0131%23 Mar →
mirage13–20.0516%22 Mar →
dust213–5-0.0512%22 Mar →
nuke12–120.0615%22 Mar →
nuke10–130.0222%22 Mar →
mirage8–130.0533%22 Mar →
mirage13–40.0544%22 Mar →
dust213–80.0423%18 Mar →
dust213–100.0526%18 Mar →
nuke13–90.1015%18 Mar →
dust213–110.0027%17 Mar →
nuke13–20.0826%16 Mar →
dust213–80.0118%16 Mar →
mirage13–10.0632%16 Mar →
dust210–13-0.0432%15 Mar →
dust213–80.0427%14 Mar →
mirage9–13-0.0118%14 Mar →
mirage13–9-0.0218%13 Mar →
dust213–50.0930%13 Mar →
dust25–13-0.0419%28 Feb →
mirage9–130.0720%28 Feb →
dust211–13-0.0015%27 Feb →
dust213–70.1124%27 Feb →
mirage4–13-0.0621%27 Feb →
dust26–130.0624%23 Feb →
inferno13–10-0.0526%23 Feb →
nuke8–13-0.0118%4 Sept →

Match data via Leetify.

Recent teammates

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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